Intel

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Intel Expands Workload Acceleration with Hewlett Packard Enterprise in New Programmable Acceleration Card

What’s New: Intel announced today it is working with Hewlett Packard Enterprise* (HPE) to provide increased workload acceleration capacity for the HPE ProLiant DL380 Gen10 server. This will address computing-intensive markets – like streaming analytics, media transcoding, financial technology and network security – with the new high-performance Intel® FPGA Programmable Acceleration Card (Intel® FPGA PAC) D5005. The Intel […]

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Lenovo and Intel Announce Multiyear Global Collaboration to Extend HPC and AI Leadership

Collaboration Will Build on Long-Standing Partnership to Further Accelerate Scientific and Business Innovation and Discovery SANTA CLARA, Calif., Aug. 5, 2019 — Intel and Lenovo today announced a multiyear collaboration focused on the rapidly growing opportunity in the convergence of high-performance computing (HPC) and artificial intelligence (AI) to help accelerate solutions for the world’s most

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“Data Annotation at Scale: Pitfalls and Solutions,” a Presentation from Intel

Nikita Manovich, Senior Software Engineer at Intel, presents the “Data Annotation at Scale: Pitfalls and Solutions” tutorial at the May 2019 Embedded Vision Summit. In many real-world use cases, deep learning algorithms work well if you have enough high-quality data to train them. Obtaining that data is a critical limiting factor in the development of

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Exploring Neuromorphic Computing for AI: Why Spikes? (Part One)

This blog post was originally published at Intel's website. It is reprinted here with the permission of Intel. AI is now fast defining the next major era of computing, thanks to the pioneering work of David Rumelhart, Geoffrey Hinton, Yann LeCun, Yoshua Bengio, and many others over the past few decades. Yet ongoing progress in

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Intel’s Pohoiki Beach, a 64-Chip Neuromorphic System, Delivers Breakthrough Results in Research Tests

What’s New: Today, Intel announced that an 8 million-neuron neuromorphic system comprising 64 Loihi research chips — codenamed Pohoiki Beach — is now available to the broader research community. With Pohoiki Beach, researchers can experiment with Intel’s brain-inspired research chip, Loihi, which applies the principles found in biological brains to computer architectures. Loihi enables users to

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Navigating the Winding Road Toward Driverless Mobility…and Why Your First Autonomous Ride will Likely be in a Robotaxi

This blog post was originally published at Intel's website. It is reprinted here with the permission of Intel. As we all watch automakers and autonomous tech companies team up in various alliances, it’s natural to wonder about their significance and what the future will bring. Are we realizing that autonomous driving technology and its acceptance

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Intel Is Tackling the Challenges of the Intelligence Era

This market research report was originally published at Tractica's website. It is reprinted here with the permission of Tractica. Intel held its Analyst Event for European analysts during June. Some of Tractica’s observations are discussed below. First impressions and highlights of the event: The recent Analyst Event in London provided a good overview of Intel’s

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Top AI Chipset Companies Announced, Including NVIDIA, Intel, NXP, Apple, and Google, Based on CompassIntel.com Research

NVIDIA, Intel, NXP, Apple, and Google top the A-List in AI Chipset Index based on recently released research by Compass Intelligence. The 2019 A-List in AI (artificial intelligence) Chipset Index includes companies providing software and hardware components of AI chipsets. AI chipset products include central processing units, graphic processing units, neural network processors, application specific

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“How to Get the Best Deep Learning Performance with the OpenVINO Toolkit,” a Presentation from Intel

Yury Gorbachev, Principal Engineer at Intel, presents the "How to Get the Best Deep Learning Performance with the OpenVINO Toolkit" tutorial at the May 2019 Embedded Vision Summit. Tremendous recent progress in deep learning and computer vision algorithms has made it possible to create innovative applications that were not previously feasible. However, moving from academic

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“Object Trackers: Approaches and Applications,” a Presentation from Intel

Minje Park, Deep Learning R&D Engineer at Intel, presents the "Object Trackers: Approaches and Applications" tutorial at the May 2019 Embedded Vision Summit. Object tracking is a powerful algorithm component and one of the fundamental building blocks for many real-world computer vision applications. Object trackers provide two main benefits when incorporated into a localization module.

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